Automate code reviews with OpenAI Codex to detect bugs and security issues.
npx skills add https://github.com/teppei22/dotfiles --skill codex-review-teppei22
Please help me install this Agent Skill. Skill: codex-review Source: https://github.com/teppei22/dotfiles/tree/main/dot_claude/skills/codex-review Command: npx skills add https://github.com/teppei22/dotfiles --skill codex-review-teppei22
Perform comprehensive, AI-assisted code reviews to identify bugs, security vulnerabilities, performance issues, and code quality problems across software projects.
To use this skill, provide the code snippet or repository URL you want reviewed and specify focus areas (security, performance, maintainability, or refactoring). For example: Analyze the Python module my_project/utils/auth.py for security and quality issues and return a structured report.
High-intent search queries and answers about installing and using this skill.
Automated code reviews detect bugs and security vulnerabilities by submitting a module or repository URL to analyze for issues. The system generates structured, actionable feedback with concrete fixes and test suggestions.
AI code review supports performance tuning and refactoring recommendations by analyzing codebases to identify bottlenecks and maintainability issues. Specify performance or refactoring as a focus area to receive prioritized improvement suggestions.
AI-assisted code analysis works across software projects spanning multiple programming languages for security auditing and quality improvements. Provide the specific file or module path to generate a structured report.
You need an API key and access to OpenAI Codex to perform automated security audits and code analysis. This access enables the model to process your codebase and return structured, actionable feedback.
To get a structured code quality report for a Python module, provide the file path and specify focus areas like security, performance, or maintainability. The analysis outputs a prioritized report with recommended fixes.
The best way to analyze a repository for maintainability improvements is supplying the repository URL and specifying maintainability as the focus area. This yields a structured review highlighting refactoring opportunities and concrete fixes.
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